GPT-6 Luna
GPT-6 Luna is the smallest and cheapest tier of OpenAI's GPT-6 generation. It keeps the 1M-token context window, takes text and images, and supports function calling and structured outputs, at a price built for volume: classification, extraction, routing, summaries and high-traffic chat. Reasoning tokens bill as output. Move up to Sol or Astra when a task needs deeper reasoning.
Pricing
Input
$0.10 / 1M
Output
$0.50 / 1M
Pay only for what you use. No subscriptions, no monthly minimum.
Specs
- Context
- 1M
- Max output
- 128K
- Latency
- Fast
- Category
- Text
- Arabic
- Strong
Quick start
Use any OpenAI-compatible client. Just change base_url and your key.
from openai import OpenAI
client = OpenAI(
api_key="tl-xxxxxxxxxxxxxxxxxxxxxxxx",
base_url="https://api.thalam.ai/v1",
)
response = client.chat.completions.create(
model="openai/gpt-6-luna",
messages=[
{"role": "user", "content": "Hello from Thalam!"}
],
)
print(response.choices[0].message.content)Similar models
GPT-6 Astra
OpenAI's GPT-6 generation. Frontier reasoning with a 1M-token context, image input, and adjustable reasoning effort.
GPT-6 Sol
The middle tier of OpenAI's GPT-6 generation: GPT-6 reasoning with a 1M-token context and image input, at a fifth of Astra's price.